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Comparison of standard and optimized voxel-based morphometry for analysis of brain changes associated with temporal lobe epilepsy.

机译:比较基于标准体素和基于体素的优化形态学,以分析与颞叶癫痫相关的大脑变化。

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We compared statistical parametric maps (SPMs) of group-wise regional gray matter differences between temporal lobe epilepsy (TLE) patients with unilateral hippocampal atrophy (HA) determined by manual volumetric analysis relative to a healthy control population using standard and optimized voxel-based morphometry (VBM). We also investigated the impact of customized neuroanatomical templates on SPMs. Standard and optimized VBM analyses of gray matter concentration (GMC) and gray matter volume (GMV) correctly identified HA, regardless of the template used for normalization. The distribution of hippocampal and extrahippocampal abnormalities differed according to the technique (standard v optimized; GMC v GMV), but was not dependent on template type (default v customized) within each technique. In particular, hippocampal GMC reduction was confined to subregions of hippocampus, whereas GMV reduction was observed in the hippocampal head, body, and tail. Unlike standard and optimized GMC reduction, symmetrical GMV reduction was observed in bilateral thalamus, lenticular nuclei, cerebellum, and ipsilateral entorhinal cortex, perirhinal cortex, and fusiform gyrus in both left and right HA patients. These results show that group-wise SPMs of GMC (i.e., regional distribution of gray matter) and GMV (i.e., volume per se) reduction can identify focal atrophy that has been quantified with manual region of interest techniques, although effects are attenuated in analyses of GMC. Unlike SPMs of GMC, analyses of GMV revealed similar extrahippocampal abnormalities as previous region-of-interest volumetric and histopathological studies of intractable TLE. We suggest that in studies of neurological disorders, optimized VBM analyses of GMV may reveal subtle neuroanatomical changes that are not identified in analyses of GMC.
机译:我们比较了通过手动体积分析确定的颞叶癫痫(TLE)患者与单侧海马萎缩(HA)患者相对于健康对照人群使用标准和优化的基于体素的形态计量学得出的分组区域灰质差异的统计参数图(SPM) (VBM)。我们还研究了定制的神经解剖模板对SPM的影响。不管用于标准化的模板如何,对灰质浓度(GMC)和灰质体积(GMV)进行标准和优化的VBM分析都能正确识别HA。海马和海马异常的分布根据技术而有所不同(标准v优化; GMC v GMV),但不依赖于每种技术中的模板类型(默认v自定义)。特别是,海马GMC的减少仅限于海马的子区域,而在海马头,身体和尾巴中则观察到GMV的减少。与标准和优化的GMC减少不同,左右HA患者在双侧丘脑,双凸状核,小脑和同侧内嗅皮层,周围神经皮层和梭状回中均观察到对称的GMV减少。这些结果表明,GMC(即灰质的区域分布)和GMV(即本身的体积)减少的分组SPM可以识别已经用人工关注区域技术量化的局灶性萎缩,尽管影响在分析中有所减弱GMC。与GMC的SPM不同,对GMV的分析显示出与先前对难治性TLE感兴趣的体积和组织病理学研究类似的海马外异常。我们建议在神经系统疾病的研究中,对GMV进行优化的VBM分析可能会发现在GMC分析中未发现的细微神经解剖学变化。

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